NextGen Public Health Surveillance and the Internet of Things (IoT)

Recent advances in technology have led to the rise of new-age data sources (e.g., Internet of Things (IoT), wearables, social media, and mobile health). IoT is becoming ubiquitous, and data generation is accelerating globally. Other health research domains have used IoT as a data source, but its pot...

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Autores principales:	Kirti Sundar Sahu, Shannon E. Majowicz, Joel A. Dubin, Plinio Pelegrini Morita
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	real-time data rapid surveillance data source big data innovation Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/3efeb1a9ca3340e5897ec07a0d3654d6
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spelling	oai:doaj.org-article:3efeb1a9ca3340e5897ec07a0d3654d62021-12-03T05:51:42ZNextGen Public Health Surveillance and the Internet of Things (IoT)2296-256510.3389/fpubh.2021.756675https://doaj.org/article/3efeb1a9ca3340e5897ec07a0d3654d62021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.756675/fullhttps://doaj.org/toc/2296-2565Recent advances in technology have led to the rise of new-age data sources (e.g., Internet of Things (IoT), wearables, social media, and mobile health). IoT is becoming ubiquitous, and data generation is accelerating globally. Other health research domains have used IoT as a data source, but its potential has not been thoroughly explored and utilized systematically in public health surveillance. This article summarizes the existing literature on the use of IoT as a data source for surveillance. It presents the shortcomings of current data sources and how NextGen data sources, including the large-scale applications of IoT, can meet the needs of surveillance. The opportunities and challenges of using these modern data sources in public health surveillance are also explored. These IoT data ecosystems are being generated with minimal effort by the device users and benefit from high granularity, objectivity, and validity. Advances in computing are now bringing IoT-based surveillance into the realm of possibility. The potential advantages of IoT data include high-frequency, high volume, zero effort data collection methods, with a potential to have syndromic surveillance. In contrast, the critical challenges to mainstream this data source within surveillance systems are the huge volume and variety of data, fusing data from multiple devices to produce a unified result, and the lack of multidisciplinary professionals to understand the domain and analyze the domain data accordingly.Kirti Sundar SahuShannon E. MajowiczJoel A. DubinJoel A. DubinPlinio Pelegrini MoritaPlinio Pelegrini MoritaPlinio Pelegrini MoritaPlinio Pelegrini MoritaPlinio Pelegrini MoritaFrontiers Media S.A.articlereal-time datarapid surveillancedata sourcebig datainnovationPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	real-time data rapid surveillance data source big data innovation Public aspects of medicine RA1-1270
spellingShingle	real-time data rapid surveillance data source big data innovation Public aspects of medicine RA1-1270 Kirti Sundar Sahu Shannon E. Majowicz Joel A. Dubin Joel A. Dubin Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita NextGen Public Health Surveillance and the Internet of Things (IoT)
description	Recent advances in technology have led to the rise of new-age data sources (e.g., Internet of Things (IoT), wearables, social media, and mobile health). IoT is becoming ubiquitous, and data generation is accelerating globally. Other health research domains have used IoT as a data source, but its potential has not been thoroughly explored and utilized systematically in public health surveillance. This article summarizes the existing literature on the use of IoT as a data source for surveillance. It presents the shortcomings of current data sources and how NextGen data sources, including the large-scale applications of IoT, can meet the needs of surveillance. The opportunities and challenges of using these modern data sources in public health surveillance are also explored. These IoT data ecosystems are being generated with minimal effort by the device users and benefit from high granularity, objectivity, and validity. Advances in computing are now bringing IoT-based surveillance into the realm of possibility. The potential advantages of IoT data include high-frequency, high volume, zero effort data collection methods, with a potential to have syndromic surveillance. In contrast, the critical challenges to mainstream this data source within surveillance systems are the huge volume and variety of data, fusing data from multiple devices to produce a unified result, and the lack of multidisciplinary professionals to understand the domain and analyze the domain data accordingly.
format	article
author	Kirti Sundar Sahu Shannon E. Majowicz Joel A. Dubin Joel A. Dubin Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita
author_facet	Kirti Sundar Sahu Shannon E. Majowicz Joel A. Dubin Joel A. Dubin Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita Plinio Pelegrini Morita
author_sort	Kirti Sundar Sahu
title	NextGen Public Health Surveillance and the Internet of Things (IoT)
title_short	NextGen Public Health Surveillance and the Internet of Things (IoT)
title_full	NextGen Public Health Surveillance and the Internet of Things (IoT)
title_fullStr	NextGen Public Health Surveillance and the Internet of Things (IoT)
title_full_unstemmed	NextGen Public Health Surveillance and the Internet of Things (IoT)
title_sort	nextgen public health surveillance and the internet of things (iot)
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/3efeb1a9ca3340e5897ec07a0d3654d6
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NextGen Public Health Surveillance and the Internet of Things (IoT)

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